| Autor: |
Carolyn Gonzalez-Ortiz, David Sellers, Fatma Levent, Ying P. Tabak, Megan T. Wimmer, Stephen Kurt, Jacob Nichols, Alanna Emrick, Latha Vankeepuram, Caitlin Asjes, Suhaireirene Suady Barake |
| Rok vydání: |
2020 |
| Předmět: |
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| DOI: |
10.1101/2020.10.19.20213975 |
| Popis: |
IntroductionThe impact of workflow changes and total laboratory automation (TLA) on microbiology culture processing time was evaluated in an academic-affiliated regional hospital.Materials and MethodsA retrospective analysis of microbiological data in a research database was performed to compare turnaround time (TAT) for organism identification (ID) before and after implementation of TLA (2013 versus 2016, respectively). TAT was compared using the χ2 test for categorical variables and log-transformed t-test for continuous variables.ResultsA total of 9,351 predefined common and clinically important positive mono-bacterial culture results were included in the analysis. Shorter TAT (hours) in 2016 compared to 2013 (pConclusionsTotal laboratory automation and workflow changes—including process standardization—facilitate shorter organism ID TAT across specimen sources. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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